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» Variance Reduction in Monte Carlo Capacitance Extraction
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GLVLSI
2008
IEEE
129views VLSI» more  GLVLSI 2008»
13 years 12 months ago
Variational capacitance modeling using orthogonal polynomial method
In this paper, we propose a novel statistical capacitance extraction method for interconnects considering process variations. The new method, called statCap, is based on the spect...
Jian Cui, Gengsheng Chen, Ruijing Shen, Sheldon X....
PG
2007
IEEE
13 years 11 months ago
Statistical Hypothesis Testing for Assessing Monte Carlo Estimators: Applications to Image Synthesis
Image synthesis algorithms are commonly compared on the basis of running times and/or perceived quality of the generated images. In the case of Monte Carlo techniques, assessment ...
Kartic Subr, James Arvo
ASPDAC
2006
ACM
158views Hardware» more  ASPDAC 2006»
13 years 11 months ago
Process-induced skew reduction in nominal zero-skew clock trees
— This work develops an analytic framework for clock tree analysis considering process variations that is shown to correspond well with Monte Carlo results. The analysis framewor...
Matthew R. Guthaus, Dennis Sylvester, Richard B. B...
JMLR
2006
143views more  JMLR 2006»
13 years 5 months ago
Geometric Variance Reduction in Markov Chains: Application to Value Function and Gradient Estimation
We study a sequential variance reduction technique for Monte Carlo estimation of functionals in Markov Chains. The method is based on designing sequential control variates using s...
Rémi Munos
LSSC
2001
Springer
13 years 10 months ago
A Quasi-Monte Carlo Method for Integration with Improved Convergence
Abstract. Quasi-Monte Carlo methods are based on the idea that random Monte Carlo techniques can often be improved by replacing the underlying source of random numbers with a more ...
Aneta Karaivanova, Ivan Dimov, Sofiya Ivanovska